AI models can now assess breast cancer risk directly from changes in screening mammograms over time, a new study shows. This opens the door to a new era of dynamic breast cancer risk assessment.
"Let's book you in": AI chatbots are generally seen as a welcome tool for managing medical screening appointments. However, too much of a good thing can backfire, a new study finds.
Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease without additional scans. At RSNA 2025, researchers presented two AI-powered tools that transform standard chest X-rays and CT scans into opportunistic screening devices.
A research team is leading the development of a sensor that paves the way for the rapid, selective and cost-effective detection of active tuberculosis infection.
Researchers are developing a portable AI-powered scanning slit-light device, designed to make ophthalmic care more accessible, so patients can be assessed any place, and any time.
Earlier detection, better outcomes: A new blood test for bowel cancer screening is designed to transform cancer outcomes by moving away from invasive or unpleasant methods.
Prostate cancer screening compares favourably to screening for breast cancer in identifying significant cancers, reducing mortality and avoiding unnecessary harms, says new research.
Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.
Study shows women with stage IV breast cancer detected through screening have a 60% chance of survival ten years after diagnosis – compared to under 20% for those not detected through screening.
New research shows that using ultra-low field (ULF) MRI for breast imaging could offer an alternative to existing breast cancer screening methods and may reduce barriers to screening.
Transgender patients are largely invisible in breast cancer screening statistics – and many never receive an invitation to participate in screening programmes. Guidelines exist, but awareness among referring physicians remains low. Experts say radiology departments are best positioned to lead the change by creating inclusive environments and actively reaching out to this underserved population.…
An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.
When radiologists at Stockholm's Capio Sankt Görans Hospital began working evenings and weekends to clear mounting backlogs, it became clear that something had to change. The solution? Replacing one of the two radiologists traditionally assigned to read breast cancer screenings with artificial intelligence (AI). The results: fewer false positives, more cancers detected, and radiologists…
Artificial intelligence is reshaping how clinicians identify women at higher risk of breast cancer – and may soon guide decisions on supplemental screening and treatment. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, two experts presented their latest findings on AI-driven risk stratification and response prediction.
Breast cancer screening for women under 50 isn't cost-effective – yet 1 in 5 diagnoses occurs in this age group. A new study suggests a personalised approach that could change this equation.
Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating artificial intelligence (AI) from Qure.ai into their chest X-ray workflows.
Many women over 50 schedule mammograms for breast cancer but miss out on CT lung cancer screenings they're also eligible for. Targeted outreach coul help change this, a new study shows.
Breast cancer – including aggressive variants – are surprisingly common in younger women, a new study shows. The findings strengthen the case for earlier, risk-tailored screening, the authors say.
A biosensor that identifies volatile organic compounds (VOCs) in exhaled breath could be used in conjunction with AI to detect various thoracic cancers including lung cancer.
